lca-package |
Latent Class Analysis |
abortion |
Abortion Attitude Data |
blca |
Bayesian Analysis of Latent Class Models |
classify.modes |
Find indentical posterior modes in Latent Class Model |
collapse.cases |
Sum Identical Cases in a Frequency Table |
ddirichlet |
The Dirichlet Distribution |
Dirichlet |
The Dirichlet Distribution |
expit |
Logit scale transformations |
expitTrans |
Transform data between vector in an n-simplex and real numbers. |
gibbs.lcm |
Gibbs Sampling for Posterior of Latent Class Model |
group |
Identify Identical Rows in Table or Matrix |
hybrid.lcm |
Hybrid Sampling from posterior of Latent Class Model |
lca |
Latent Class Analysis |
lcaMLE |
Find Posterior Mode or Maximum Likelihood Estimate using EM Algorithm |
log.posterior.lcm |
Find Log-Posterior or Log-Likelihood values for Latent Class Models |
logit |
Logit scale transformations |
logitTrans |
Transform data between vector in an n-simplex and real numbers. |
loglik.lcm |
Find Log-Posterior or Log-Likelihood values for Latent Class Models |
param.array |
Manipulate Latent Class Model Parameters |
param.vector |
Manipulate Latent Class Model Parameters |
perms |
List groups of permutations. |
plot.lcm.gibbs |
Plot posterior means for Latent Class Model. |
plot.lcm.hybrid |
Plot posterior means for Latent Class Model. |
postMode |
Find Posterior Mode or Maximum Likelihood Estimate using EM Algorithm |
print.percentage |
Print Percentage of Activity Completed to stdout |
question |
McCutcheon's Questionnaire Response Data |
rdirichlet |
The Dirichlet Distribution |
rlcm |
Generate Data from a Latent Class Model |
small |
Small Dataset |
summary.lcm.gibbs |
Summary Statistics for MCMC Samplers on Latent Class Model |
summary.lcm.hybrid |
Summary Statistics for MCMC Samplers on Latent Class Model |
tabulate.data |
Count Cases |
varnames.lcm |
Create Parameter Labels for Latent Class Model |